The binomial distribution is an example of a discrete probability distribution. The normal distribution is an example of a?continuous?probability distribution.
What is a continuous random variable?
A continuous random variable (often abbreviated to CRV) is a random variable that can take?any value?within a range of infinite values
Continuous random variables?usually measure?something
For example, height, weight, time, etc
What is a continuous probability distribution?
What is a normal distribution??
A normal distribution is a?continuous probability distribution
μ?is the?mean
σ2?is the?variance
σ?is the?standard deviation
If the?mean?changes then the graph is?translated horizontally
If the?variance?changes then the graph is?stretched horizontally
A?small variance?leads to a?tall?curve with a?narrow?centre
A?large variance?leads to a?short?curve with a?wide?centre
What are the important properties of a normal distribution?
The?mean?is?μ
The?variance?is?σ2
If you need the?standard deviation?remember to square root this
The normal distribution is symmetrical about
Mean = Median = Mode =?μ
There are the results:
Approximately?two-thirds (68%)?of the data lies within?one standard deviation?of the mean (μ?±?σ)
Approximately?95%?of the data lies within?two standard deviations?of the mean?(μ?±?2σ)
Nearly?all of the data (99.7%)?lies within?three standard deviations?of the mean?(μ?±?3σ)
Modelling with Normal Distribution
What can be modelled using a normal distribution?
A lot of real-life continuous variables can be modelled by a normal distribution provided that the population is large enough and that the variable is?symmetrical?with?one mode
This fact allows us to model variables that are not defined for all real values such as height and weight
What can not be modelled using a normal distribution?
Variables which have?more than one mode?or?no mode
For example: the number given by a random number generator
Variables which are?not symmetrical
For example: how long a human lives for
Exam Tip
An exam question might involve different types of distributions so make it clear which distribution is being used for each variable
Worked Example
a)Write down the mean and standard deviation of the running speeds of cheetahs.
b)State two assumptions that have been made in order to use this model.